Triple

T6416681
Position Surface form Disambiguated ID Type / Status
Subject Gena Rowlands E127846 entity
Predicate name P16 FINISHED
Object Gena Rowlands E127846 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gena Rowlands | Statement: [Gena Rowlands, name, Gena Rowlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gena Rowlands
Context triple: [Gena Rowlands, name, Gena Rowlands]
  • A. Gena Rowlands chosen
    Gena Rowlands is an acclaimed American actress renowned for her intense, emotionally complex performances, particularly in her collaborations with filmmaker John Cassavetes.
  • B. Diane Ladd
    Diane Ladd is an American actress, director, and producer known for her acclaimed film and television roles, including her Academy Award–nominated performances and frequent collaborations with her daughter, Laura Dern.
  • C. Shirley Hayden
    Shirley Hayden is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
  • D. Sandy Dennis
    Sandy Dennis was an American stage and film actress known for her intense, neurotic character portrayals and her Academy Award–winning performance in "Who's Afraid of Virginia Woolf?".
  • E. Dianne Wiest
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ea06b08190901e0c0a18fd5170 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669dbb0708190b0651c524a80a251 completed March 27, 2026, 11:28 a.m.
Created at: March 22, 2026, 4:42 p.m.